PubMed HealthSearch

PubMed · 7216703

Digitized longitudinal tomography.

Abstract

An analog video longitudinal tomographic system has been converted to a digital format that reconstructs the tomographic section through the use of matrixes representing the gray scale values of the analog-recorded video images. This was done so that some simple preprocessing could be used to eliminate electronic noise and thereby increase the effective signal to noise ratio. Signal to noise was also increased by the elimination of the analog image displacement circuits (ramp generators). In addition to an improvement in the diagnostic quality (gray scale) of anatomic images, a capability to image contrast differentials as low as 1% has been achieved. A display system provides the ability to use windows having both variable central levels and widths.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

N A Baily, T D Kampp. Digitized longitudinal tomography.. https://doi.org/10.1097/00004424-198103000-00009

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Longitudinal image deblurring in spiral CT.

PURPOSE: To assess the feasibility of digital deconvolution techniques to improve longitudinal resolution of spiral computed tomography (CT) multiplanar reformations and evaluate how technical factors in deconvolution affect longitudinal resolution, noise, and edge ringing. MATERIALS AND METHODS: Longitudinal line spread function (LSF) of the system was estimated from longitudinal reformations of transaxial spiral CT images of a step test phantom. By using the estimated LSF, longitudinal reformations of the phantom and three clinical spiral CT studies were deconvolved by the methods of Wiener filtering and constrained iterative deconvolution. Edge ringing and image noise were quantified for Wiener filtering and constrained iterative deconvolution. RESULTS: Longitudinal reformations were substantially deblurred and resolution improved after deconvolution. Anatomic boundaries in clinical images were more clearly delineated after restoration. The methods of Wiener deconvolution and constrained iterative deconvolution improved the sharpness of the phantom step boundary at the expense of increased edge ringing and image noise. CONCLUSION: In longitudinal spiral CT reformations, blurring along the longitudinal axis can be reduced by Wiener filtering or constrained iterative deconvolution.

Technology, Radiologic

Re: Film processing.

Explore the source record for details and available documents.

Technology, Radiologic